Publication Details
Detection of facial key points
KANICH Ondřej, GOLDMANN Tomáš and DRAHANSKÝ Martin. Detection of facial key points. Brno, 2019.
Czech title
Detekce význačných bodů v obličeji
Type
technical report
Language
english
Authors
Kanich Ondřej, Ing., Ph.D. (DITS FIT BUT)
Goldmann Tomáš, Ing., Ph.D. (DITS FIT BUT)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
Goldmann Tomáš, Ing., Ph.D. (DITS FIT BUT)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
Abstract
This report describes algorithm for detection of 98 facial key points using convolution neural nets (CNN). The neural nets use novel design based on state of the art design for similar tasks. WFLW (Wider Facial Landmarks in-the-wild) database which contains 10000 face images in atypical poses (illumination, makeup, expression, occlusion, etc.) is used for training and testing.
Published
2019
Pages
1-12
Place
Brno, CZ
BibTeX
@TECHREPORT{FITPUB12160,
author = "Ond\v{r}ej Kanich and Tom\'{a}\v{s} Goldmann and Martin Drahansk\'{y}",
title = "Detection of facial key points",
pages = "1--12",
year = 2019,
location = "Brno, CZ",
language = "english",
url = "https://www.fit.vut.cz/research/publication/12160"
}
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